Model Comparison

GPT-4o mini vs Codestral-22B

GPT-4o mini significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4o mini outperforms in 1 benchmarks (HumanEval), while Codestral-22B is better at 0 benchmarks.

GPT-4o mini significantly outperforms across most benchmarks.

Wed May 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Wed May 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas Codestral-22B does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o mini

Text
Images
Audio
Video

Codestral-22B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini is licensed under a proprietary license, while Codestral-22B uses MNPL-0.1.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4o mini

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Codestral-22B was released on 2024-05-29.

GPT-4o mini is 2 months newer than Codestral-22B.

GPT-4o mini

Jul 18, 2024

1.8 years ago

1mo newer
Codestral-22B

May 29, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Codestral-22B's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Codestral-22B's cutoff date.

GPT-4o mini

Oct 2023

Codestral-22B

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Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher HumanEval score (87.2% vs 81.1%)
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
Mistral AI
Codestral-22B

FAQ

Common questions about GPT-4o mini vs Codestral-22B.

Which is better, GPT-4o mini or Codestral-22B?

GPT-4o mini significantly outperforms across most benchmarks. GPT-4o mini is made by OpenAI and Codestral-22B is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o mini compare to Codestral-22B in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.

What are the context window sizes for GPT-4o mini and Codestral-22B?

GPT-4o mini supports 128K tokens and Codestral-22B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o mini and Codestral-22B?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Codestral-22B?

GPT-4o mini is developed by OpenAI and Codestral-22B is developed by Mistral AI.